A simple and efficient joint measurement strategy for estimating fermionic observables and Hamiltonians

We propose a simple scheme to estimate fermionic observables and Hamiltonians relevant in quantum chemistry and correlated fermionic systems. Our approach is based on implementing a measurement that jointly measures noisy versions of any product of two or four Majorana operators in an N mode fermionic system. To realize our measurement we use: (i) a randomization over a set of unitaries that realize products of Majorana fermion operators; (ii) a unitary, sampled at random from a constant-size set of suitably chosen fermionic Gaussian unitaries; (iii) a measurement of fermionic occupation numbers; (iv) suitable post-processing. Our scheme can estimate expectation values of all quadratic and quartic Majorana monomials to ϵ precision using $${\mathcal{O}}(N\log (N)/{\epsilon }^{2})$$ and $${\mathcal{O}}({N}^{2}\log (N)/{\epsilon }^{2})$$ measurement rounds respectively, matching the performance offered by fermionic classical shadows1,2. In certain settings, such as a rectangular lattice of qubits which encode an N mode fermionic system via the Jordan-Wigner transformation, our scheme can be implemented in circuit depth $${\mathcal{O}}({N}^{1/2})$$ with $${\mathcal{O}}({N}^{3/2})$$ two-qubit gates, offering an improvement over fermionic and matchgate classical shadows that require depth $${\mathcal{O}}(N)$$ and $${\mathcal{O}}({N}^{2})$$ two-qubit gates. By benchmarking our method on exemplary molecular Hamiltonians and observing performances comparable to fermionic classical shadows, we demonstrate a novel, competitive alternative to existing strategies.

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Publication Details

Journal
npj Quantum Information
Published
2025-04-07
DOI
https://doi.org/10.1038/s41534-025-00957-7
Citations
3
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
7.44

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article

A simple and efficient joint measurement strategy for estimating fermionic observables and Hamiltonians

Michał Oszmaniec, Daniel McNulty, Joanna Majsak
3 citations
npj Quantum Information
Quantum Computing Algorithms and Architecture
7.44
article

A simple and efficient joint measurement strategy for estimating fermionic observables and Hamiltonians

Michał Oszmaniec, Daniel McNulty, Joanna Majsak
article en
3 citations

Abstract

We propose a simple scheme to estimate fermionic observables and Hamiltonians relevant in quantum chemistry and correlated fermionic systems. Our approach is based on implementing a measurement that jointly measures noisy versions of any product of two or four Majorana operators in an N mode fermionic system. To realize our measurement we use: (i) a randomization over a set of unitaries that realize products of Majorana fermion operators; (ii) a unitary, sampled at random from a constant-size set of suitably chosen fermionic Gaussian unitaries; (iii) a measurement of fermionic occupation numbers; (iv) suitable post-processing. Our scheme can estimate expectation values of all quadratic and quartic Majorana monomials to ϵ precision using $${\mathcal{O}}(N\log (N)/{\epsilon }^{2})$$ and $${\mathcal{O}}({N}^{2}\log (N)/{\epsilon }^{2})$$ measurement rounds respectively, matching the performance offered by fermionic classical shadows1,2. In certain settings, such as a rectangular lattice of qubits which encode an N mode fermionic system via the Jordan-Wigner transformation, our scheme can be implemented in circuit depth $${\mathcal{O}}({N}^{1/2})$$ with $${\mathcal{O}}({N}^{3/2})$$ two-qubit gates, offering an improvement over fermionic and matchgate classical shadows that require depth $${\mathcal{O}}(N)$$ and $${\mathcal{O}}({N}^{2})$$ two-qubit gates. By benchmarking our method on exemplary molecular Hamiltonians and observing performances comparable to fermionic classical shadows, we demonstrate a novel, competitive alternative to existing strategies.

npj Quantum InformationVol. 11(1)
Center for Theoretical Physics (PL), Technology Innovation Institute (AE), NASK National Research Institute (PL), University of Warsaw (PL), University of Bari Aldo Moro (IT), Polish Academy of Sciences (PL)
QuantERA
Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
7.44
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